年齢差別に関する分析結果と比較

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  • 年齢差別は、教育と労働時間の面で人種差別や性差別よりも大きいことがわかりました。
  • ただし、職業の面では、年齢差別は人種差別や性差別よりも少なかったです。
  • 1950年以降の変化では、非白人と高齢者は所得・職業・教育の面でより平等になっていますが、女性は一般的に劣った地位を維持しています。
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和訳して欲しいです。　年齢差別についてです。

However, there have been few attemps to compare quantitatively the relative importance of these three kinds of prejudice and discrimination. We have analyzed the race, sex and age inequalities shown by the U.S. census statistics using the method of the Equality Index. We compared inequalities in terms of income, education, occupation, and number of weeks worked. The Equality Index summarizes the amount of similarity between the percentage distributions of two groups, such as the aged and non aged, on a given dimensions, such as income or years of education. We found that age inequality was greater than race and sex inequality in the number of years of education completed and in the number of weeks worked; that is, there was more discrepancy between the aged and non aged in their education and weeks worked, than there was between the whites and nonwhites, and between males and females. However, in terms of occupation, age inequality was less than racial and sex inequality. Age inequality was also greater than racial inequality in terms of income. When comparisons were made combining two of the factors, the joint effects were generally additive. The combination of all three factors produced the lowest quality in both income and occupation. Changes since 1950 show nonwhites and the aged gaining substantially more equality in income, occupation, and education; while women were barely maintaining their generally inferior status. The extent to which these inequalities are directly due to racism, sexism, and ageism, as opposed to biological or cohort differences, is difficult to determine. However, it is clear that the relative amounts of race, sex, and age inequality vary depending ono which inequality is being mesured.

  • 英語
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  • ベストアンサー
  • sayshe
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回答No.1

しかし、偏見や差別のこれらの3種類の相対的重要度を量的に比較する試みは、ほとんどありませんでした。 我々は、平等指数の方法を用いて米国国勢調査統計によって示される人種、性別、年齢による不平等を分析しました。 我々は収入、教育、職業、就業週数に関して不平等を比較しました。平等指数は、例えば収入や教育年数と言った一定の程度に関して、例えば高齢者と非高齢者と言った2つのグループの分布割合間の類似性がどれほどかを集約します。 終了教育年数や就業週数において、年齢による不平等が人種や性別による不平等より大きいことが分かりました; つまり、教育と就業週における高齢者と非高齢者の間の相違の方が、白人と非白人、及び、男性と女性の間の相違よりも大きいのでした。しかし、職業に関しては、年齢による不平等は、人種や性別による不平等より少なかったです。 収入に関しては、年齢による不平等は、また、人種的不平等よりも大きかったです。 要因の２つを組み合わせながら比較がなされた時、組み合わされた影響は通常、加算的でした。 3つの要因すべてが組合さると、収入と職業の両面で最低の質につながっていました。1950年以降の変化は、非白人や高齢者が、収入、職業、教育においてかなりより多くの平等を得ている事を示しています; 他方、女性は、どちらかと言えば、彼女たちの一般に低い地位の状態に甘んじていました。 どの程度、これらの不平等が、人種差別、性差別、年齢差別が直接の原因となっているのかは、生物学的あるいは集団的相違とは対照的に、決定するのが困難です。 しかし、人種、性別、年齢による不平等の相対的程度が、どの不平等が測定されているか次第で変化することは明白です。

  1. カテゴリ
  2. 学問・教育
  3. 語学
  4. 英語

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